code: def test_sample_condition_7():
      """Test the experimental condition sampling -- different onsets, \
      overlapping offsets."""
      condition = ([0, 10, 20], [11, 1, 1], [1.0, 1.0, 1.0])
      frame_times = np.linspace(0, 49, 50)
  
      reg, _ = _sample_condition(condition, frame_times, oversampling=1)
  
      assert reg.sum() == 13
      assert reg[24] == 1.0
      assert reg[34] == 2.0
      assert reg[61] == 0.0
  
imports: import warnings
  import numpy
  import pytest
  from numpy.testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from nilearn.glm.first_level.hemodynamic_models import _calculate_tr, _hrf_kernel, _regressor_names, _resample_regressor, _sample_condition, compute_regressor, glover_dispersion_derivative, glover_hrf, glover_time_derivative, orthogonalize, spm_dispersion_derivative, spm_hrf, spm_time_derivative
label_desc: Use image node_id 14 for calling a global function with example usage: test_sample_condition_7() without return types